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All Journal JURIKOM (Jurnal Riset Komputer) TIN: TERAPAN INFORMATIKA NUSANTARA
Elfrianti Fransiska Hutahaean
Universitas Budi Darma, Medan
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Penerapan Metode MOOSRA Dalam Rekomendasi Pemilihan Calon Panitia Pemungutan Suara (PPS) Elfrianti Fransiska Hutahaean; Oktavia Wulandari; Nelly Astuti Hasibuan
TIN: Terapan Informatika Nusantara Vol 3 No 7 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v3i7.4120

Abstract

Voting Committee is a committee formed by Regency/Municipal KPU/KIP to carry out General Elections (elections) in other villages or sub-districts. The committee is a group of people appointed or elected to consider or take care of matters assigned to the group. General elections in a village become an activity that must be carried out every year that has been determined, where the community will vote to choose who deserves to be a leader through ballots (Balot). In the general election (Pemilu) a committee is needed to carry out the voting called (PPS). This Voting Committee (PPS) will help the community to carry out the general election process later at every level in accordance with the rules made. To choose the committee an Alternative and certain criteria. In this case the Siregar village head has the opportunity to recommend candidates who will become the voting committee who will serve in the village, but the lack of understanding of knowledge about what criteria must be owned by the voting committee makes it often wrong to recommend PPS candidates, and still manually process data from candidates to be recommended so that it takes a long time. Therefore a system is needed using certain methods to solve these problems, in this case the author uses a Decision Support System with the Multiobjective Optimization method on the Basis of Ratio Analysis (MOOSRA) because it can determine criteria that meet the requirements and deserves to be recommended this method is also considered capable of solving the problem because with this system an appropriate and accurate decision can be taken/drawn. Suara (PPS), which is the first alternative with the name Rohani Butar-Butar, is the best alternative with a total value of 4,812
Studi Perbandingan Algoritma Lempel Ziv Welch Dan Algoritma Punctured Elias Code Dalam Kompresi Gambar Elfrianti Fransiska Hutahaean
JURIKOM (Jurnal Riset Komputer) Vol 11, No 6 (2024): Desember 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v11i6.8480

Abstract

Gambar didefenisikan sebagai representasi visual dari objek, orang, atau pemandangan yang dihasilkan melalui berbagai  metode seperti fotografi, lukisan, atau grafik komputer. Gambar dapat berfungsi untuk menyimpan informasi, menceritakan cerita, dan menjadi karya seni. Gambar memiliki banyak format, salah satunya format JPG. Format ini paling umum digunakan karena dianggap ideal untuk foto dan gambar yang memiliki gradasi warna kompleks serta hampir semua perangkat lunak mendukung mulai dari gambar, sistem operasi, dan perangkat keras yang menjadikannya fleksibel. Dalam menyimpan media gambar yang berkapasitas besar, maka membutuhkan ruang penyimpanan yang besar untuk menghemat ruang penyimpanan yang terbatas untuk itu dibutuhkan teknik kompresi. Kompresi dapat mengurangi ukuran data dari ukuran aslinya, sehingga menghemat ruang penyimpanan. Terdapat banyak algoritma kompresi yang dapat digunakan, seperti algoritma Lempel Ziv Welch (LZW) dan Punctured Elias Code (P1). Kedua algoritma ini memiliki cara kerja yang berbeda dalam mengompresi gambar. Oleh karena itu, penting untuk membandingkan kedua algoritma ini guna mengetahui mana yang lebih efektif dalam melakukan kompresi. Berdasarkan penelitian ini, proses perbandingan algoritma Lempel Ziv Welch (LZW) dan Punctured Elias Code  dapat dilakukan tanpa metode perbandingan tambahan karena nilai persentase Space Saving (SS) menunjukkan hasil yang jelas. Algoritma Punctured Elias Code memiliki nilai SS sebesar 45,5%, lebih tinggi dibandingkan dengan Lempel Ziv Welch yang memiliki nilai SS sebesar 16%. Hasil ini membuktikan bahwa algoritma Punctured Elias Code lebih efisien dalam menghemat ruang penyimpanan dan efektif untuk mengompresi file gambar berformat jpg.
Co-Authors Nelly Astuti Hasibuan Oktavia Wulandari